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Modelling mental rotation in cognitive robots

机译：在认知机器人中模拟心理旋转

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Mental rotation concerns the cognitive processes that allow an agent mentally to rotate the image of an object in order to solve a given task, for example to say if two objects with different orientations are the same or different. Here we present a system-level bio-constrained model, developed within a neurorobotics framework, that provides an embodied account of mental rotation processes relying on neural mechanisms involving motor affordance encoding, motor simulation and the anticipation of the sensory consequences of actions (both visual and proprioceptive). This model and methodology are in agreement with the most recent theoretical and empirical research on mental rotation. The model was validated through experiments with a simulated humanoid robot (iCub) engaged in solving a classical mental rotation test. The results of the test show that the robot is able to solve the task and, in agreement with data from psychology experiments, exhibits response times linearly dependent on the angular disparity between the objects. This model represents a novel detailed operational account of the embodied brain mechanisms that may underlie mental rotation.
机译：心理旋转涉及认知过程，该认知过程允许代理在精神上旋转对象的图像以解决给定的任务，例如说两个方向不同的对象是相同还是不同。在这里，我们介绍了在神经机器人学框架内开发的系统级生物约束模型，该模型依赖于涉及运动能力承受能力编码，运动模拟以及对动作的感觉后果的预期（包括视觉）的神经机制，提供了心理旋转过程的具体体现。和本体感受）。该模型和方法与关于心理旋转的最新理论和实证研究一致。通过使用模拟人形机器人（iCub）进行实验验证了该模型，该机器人参与了经典的心理旋转测试。测试结果表明，该机器人能够解决任务，并且与心理学实验数据相一致，其响应时间呈线性关系，取决于对象之间的角度差异。该模型代表了可能是精神旋转基础的具体脑机制的新颖详细操作说明。

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